FreeUp decomposes encrypted traffic into frequency-specific branches with dedicated training and uses uncertainty-inspired fusion to produce more reliable anomaly scores than standard reconstruction methods.
Leveraging human-in-the-loop machine learning and gan-synthesized data for intrusion detection in unmanned aerial vehicle networks
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Decompose to Understand, Fuse to Detect: Frequency-Decoupled Anomaly Detection for Encrypted Network Traffic
FreeUp decomposes encrypted traffic into frequency-specific branches with dedicated training and uses uncertainty-inspired fusion to produce more reliable anomaly scores than standard reconstruction methods.